A Dijous 20 Març 2003 08:50, Pep Roca va escriure:
> Hola:
>
> Jo vaig intentar fer-lo servir sense èxit. Si no et representes cap
> problema, podries enviarnos la plantilla inicial?

Ok. Ací vos envie les tres primeres pàgines de la presentació que estic
preparant (basada en el fitxer sample.mgp que ve amb la distribució).

En la meua experiència, amb mig hora de mirar els manuals pots escomençar a
usar Magic Point sense problema. Molt maco!

Salutacions,

-- 
Francesc Alted

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%%
%% This default.mgp is "TrueType fonts" oriented.
%% First, you should create "~/.mgprc" whose contents are:
%%      tfdir "/path/to/truetype/fonts"
%%
%% To visualize English, install "times.ttf", "arial.ttf", and "cour.ttf"
%% into the "tfdir" directory above:
%%      http://microsoft.com/typography/fontpack/default.htm
%%
%% To visualize Japanese, install "MSMINCHO.ttf" and 
%% "watanabenabe-mincho.ttf" into the "tfdir" directory above:
%%      http://www.mew.org/mgp/xtt-fonts_0.19981020-3.tar.gz
%%
%deffont "standard" xfont "helvetica-medium-r", tfont "standard.ttf", tmfont 
"hoso6.ttf"
%deffont "thick" xfont "helvetica-bold-r", tfont "thick.ttf", tmfont 
"hoso6.ttf"
%deffont "typewriter" xfont "courier-medium-r", tfont "typewriter.ttf", tmfont 
"hoso6.ttf"
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%%
%% Default settings per each line numbers.
%%
%default 1 area 90 90, leftfill, size 2, fore "gray20", back "white", font 
"standard", hgap 0
%default 2 size 7, vgap 10, prefix " ", ccolor "black"
%default 3 size 2, bar "gray70", vgap 10
%default 4 size 5, fore "gray20", vgap 30, prefix " ", font "standard"
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%%
%% Default settings that are applied to TAB-indented lines.
%%
%tab 1 size 5, vgap 40, prefix "  ", icon box "green" 50
%tab 2 size 4, vgap 40, prefix "      ", icon arc "yellow" 50
%tab 3 size 3, vgap 40, prefix "            ", icon delta3 "white" 40
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%page
%nodefault
%size 6.5, font "standard", back "white", ccolor "black"





%center, fore "Blue", font "standard", hgap 60, size 6.5
PyTables
%bar "skyblue" 6 15 70
%font "standard", hgap 0
%fore "lightblue" 

PROCESSING AND ANALYZING EXTREMELY LARGE AMOUNTS OF DATA IN PYTHON

%size 5, fore "darkblue"
Francesc Alted
%size 4.5
[EMAIL PROTECTED]


%page
%%bgrad 0 0 256 0 0 "white" "blue"

Motivation


        Managing large amounts of data is a challenge in many fields today

        Computers are able to deal with very large data sets

        But, the question is: people can face up to this easily?

        Requirements:
                Interactivity
                Easy, object oriented interface
                Hierarchical structure
                Efficiency

        PyTables is Python package designed with the above requirements in 
mind!       

%page 

Requeriments


        Interactivity
                The user can take immediate actions based on previous feedback
                This accelerate the process of data-mining *enormously*

        Efficiency
                Improves your productivity
                Very important when interactivity is needed

        Hierarchical structure
                It allows to break your data in smaller, related chunks
                It offers an intuitive way to categorize data

        Object oriented interface
                Datasets become objects that can be easily manipulated
                In a hierarchical structure, objects easy the data browsing

Respondre per correu electrònic a